A finite memory structure filtering for indoor positioning in wirelesssensor networks with measurement delay

Collection with item attached
2017
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/473597.do
DOI
10.1177/1550147716685419
Title
A finite memory structure filtering for indoor positioning in wirelesssensor networks with measurement delay
Description
The author(s) disclosed receipt of the following financial support forthe research, authorship, and/or publication of this article: Thisresearch was supported by the MSIP (Ministry of Science, ICT and FuturePlanning), Korea, under the ITRC(Information Technology Research Center)support program (IITP-2016-H8601-16-1003) supervised by theIITP(Institute for Information & communications Technology Promotion).
abstract
In this article, an alternative indoor positioning mechanism is proposed considering finite memory structure filter as well as measurement delay. First, a finite memory structure filter with a measurement delay is designed for the indoor positioning mechanism under a weighted least-squares criterion, which utilizes only finite measurements on the most recent window. The proposed finite memory structure filtering-based mechanism gives the filtered estimates for position, velocity, and acceleration of moving target in real time, while removing undesired noisy effects and preserving desired moving positions. Second, the proposed mechanism is shown to have good inherent properties such as unbiasedness, efficiency, time-invariance, deadbeat, and robustness due to the finite memory structure. Third, through discussions about the choice of window length, it is shown that this can be considered as a useful design parameter to make the performance of the proposed mechanism as good as possible. Finally, computer simulations show that the performance of the proposed finite memory structure filtering-based mechanism can outperform the existing infinite memory structure filtering-based mechanism for the abruptly varying acceleration of moving target.
provenance
Made available in Cube on 2018-09-28T10:23:52Z (GMT). No. of bitstreams: 0
language
English
author
Kim, Pyung Soo
Lee, Eung Hyuk
Jang, Mun Seok
Kang, Shin-Yoon
accessioned
2018-09-28T10:23:52Z
available
2018-09-28T10:23:52Z
issued
2017
citation
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS(13): 1
issn
1550-1477
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/473597.do
Funder
교육부
Funding Program
BK21플러스사업(0.5)
Project ID
1345274446
Jurisdiction
Rep.of Korea
Project Name
Energy Saving Convergence Center
rights
openAccess
subject
Indoor positioning system
wireless sensor networks
measurement delay
finite memory structure filter
infinite memory structure filter
type
article


Files in This Item

There are no attached files.